The Gesture Detection model is created to make smart home or lifestyle products easier to use. Want to add time to your microwave? Just swipe up. Want to turn on your coffee machine? Just push!
This radar-based Ready Model lets your product recognize five hand gestures, and the possibilities for how to use them in your consumer product are nearly limitless.
- Detects more than 92% of gestures within 10-70 cm from a device
- Robust against many variations, such as a user sitting or standing, or different user heights
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The Coughing model is designed for use in healthcare products or wearables. It detects coughing, which can indicate illness or other respiratory conditions, and can be used to identify potential environmental hazards.
- Captures at least 84-94% of coughs
- Robust against the most common indoor and outdoor background sounds
- Measures coughs per hour to identify 'sick' versus 'healthy' user
This model is ideal for companies with healthcare or wearable products that want to identify snoring. This important feature can be used to identify health or environmental issues.
- Captures more than 89-96% of snores
- Robust against the most common background sounds, particularly indoor
- Flexibly designed to be used in wearables or in devices that are placed near the bed
This model uses audio event detection to identify emergency vehicle sirens. This can be used to alert pedestrians to emergency vehicles in their vicinity, or to trigger other safety features in wearables.
- Captures over 80-95% of siren sounds
- Robust against common traffic background sounds in different environments
- Able to detect siren sounds from all directions